Timepoint by timepoint

## `summarise()` has grouped output by 'valid', 'within_trial_TR', 'roi'. You can
## override using the `.groups` argument.

Segments-based

## `summarise()` has grouped output by 'valid', 'segment', 'roi', 'sub'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'valid', 'segment', 'roi'. You can override using the `.groups` argument.

STATS

ANOVA across ROI (ca23dg & ppa), segment, and valid

Effect DFn DFd F p p<.05 ges
2 segment 3 117 1.7716976 0.1563816 0.0183835
3 roi 1 39 0.2271837 0.6362798 0.0008787
4 segment:roi 3 117 2.7141700 0.0480164 * 0.0200468
Effect DFn DFd F p p<.05 ges
2 segment 3 117 2.3161752 0.0792989 0.0182951
3 roi 1 39 0.0971905 0.7568881 0.0005308
4 segment:roi 3 117 4.2556794 0.0068277 * 0.0305953
Effect DFn DFd F p p<.05 ges
2 segment 3 117 0.7546772 0.5217907 0.0074125
3 roi 1 39 1.0069827 0.3218126 0.0039554
4 segment:roi 3 117 0.4264408 0.7344132 0.0036750
Effect DFn DFd F p p<.05 ges
2 segment 3 117 2.653844 0.0518188 0.0416232
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override using the `.groups` argument.
Timepoint p-values for ca23dg-body
segment valid invalid paired
early
same 0.033 0.517 0.072
early-similar 0.348 0.175 0.803
late-similar 0.564 0.607 0.446
different 0.428 0.205 0.961
late
same 0.123 0.025 0.332
early-similar 0.741 0.835 0.966
late-similar 0.045 0.245 0.043
different 0.745 0.558 0.535
others
same 0.158 0.962 0.240
early-similar 0.005 0.153 0.002
late-similar 0.229 0.182 0.862
different 0.202 0.041 0.467
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override
## using the `.groups` argument.
valid segment paired
valid-invalid same 0.1896925
valid-invalid early-similar 0.5102875
valid-invalid late-similar 0.6262253
valid-invalid different 0.2324372
valid-valid same 0.0077234
valid-valid early-similar 0.6782755
valid-valid late-similar 0.3627028
valid-valid different 0.5688344
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override using the `.groups` argument.
Timepoint p-values for ca1-body
segment valid invalid paired
early
same 0.200 0.225 0.102
early-similar 0.150 0.435 0.717
late-similar 0.234 0.966 0.373
different 0.227 0.212 0.090
late
same 0.527 0.909 0.606
early-similar 0.961 0.893 0.906
late-similar 0.553 0.679 0.474
different 0.507 0.184 0.664
others
same 0.915 0.515 0.729
early-similar 0.658 0.398 0.737
late-similar 0.404 0.608 0.346
different 0.130 0.240 0.690
## `summarise()` has grouped output by 'sub', 'valid', 'segment'. You can override
## using the `.groups` argument.
valid segment paired
valid-invalid same 0.3283746
valid-invalid early-similar 0.4796860
valid-invalid late-similar 0.7270645
valid-invalid different 0.7861553
valid-valid same 0.1309115
valid-valid early-similar 0.3098427
valid-valid late-similar 0.2349378
valid-valid different 0.1744312
## 
##  Paired t-test
## 
## data:  ca23dg %>% filter(valid == "valid-valid" & round == "early" & segment == "same") %>% .$m and ca1 %>% filter(valid == "valid-valid" & round == "early" & segment == "same") %>% .$m
## t = -2.6971, df = 39, p-value = 0.01028
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0051535202 -0.0007363988
## sample estimates:
## mean of the differences 
##            -0.002944959

Pre- and Post- MoI

## `summarise()` has grouped output by 'route'. You can override using the
## `.groups` argument.
## `summarise()` has grouped output by 'sub', 'roi', 'within_trial_TR', 'valid'. You can override using the `.groups` argument.
## Joining, by = c("valid", "within_trial_TR", "roi", "sub", "round")
## `summarise()` has grouped output by 'roi', 'valid', 'sub', 'segment'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'roi', 'valid', 'segment'. You can override using the `.groups` argument.

3-3-3s around MoI

## `summarise()` has grouped output by 'roi', 'valid', 'sub', 'segment'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'roi', 'valid', 'segment'. You can override using the `.groups` argument.

Effect DFn DFd F p p<.05 ges
2 roi 1 39 0.4010755 0.5302309 0.0014169
3 segment 2 78 0.5915063 0.5559563 0.0019210
4 round 1 39 1.8654257 0.1798253 0.0047823
5 roi:segment 2 78 3.2328070 0.0447890 * 0.0117752
6 roi:round 1 39 0.6041637 0.4416833 0.0013272
7 segment:round 2 78 0.5394455 0.5852309 0.0022000
8 roi:segment:round 2 78 4.7552382 0.0112551 * 0.0159345
Effect DFn DFd F p p<.05 ges
2 roi 1 39 0.0002646 0.9871048 0.0000015
3 segment 2 78 0.2478477 0.7810911 0.0017662
4 roi:segment 2 78 4.5244142 0.0138336 * 0.0362418
Effect DFn DFd F p p<.05 ges
2 segment 2 78 5.64001 0.0051555 * 0.078759
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "pre" & round == "early"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "pre" & round == "early"))$cor
## t = -2.6558, df = 39, p-value = 0.0114
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0047323370 -0.0006403809
## sample estimates:
## mean of the differences 
##            -0.002686359
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "pre" & round == "late"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "pre" & round == "late"))$cor
## t = 1.7331, df = 39, p-value = 0.09097
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0003381674  0.0043865063
## sample estimates:
## mean of the differences 
##             0.002024169
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "MoI" & round == "early"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "MoI" & round == "early"))$cor
## t = -0.56816, df = 39, p-value = 0.5732
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.004143698  0.002326313
## sample estimates:
## mean of the differences 
##           -0.0009086927
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "MoI" & round == "late"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "MoI" & round == "late"))$cor
## t = -1.7259, df = 39, p-value = 0.09229
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0066215973  0.0005242987
## sample estimates:
## mean of the differences 
##            -0.003048649
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "post" & round == "early"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "post" & round == "early"))$cor
## t = 1.1284, df = 39, p-value = 0.266
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0008602862  0.0030312934
## sample estimates:
## mean of the differences 
##             0.001085504
## 
##  Paired t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "post" & round == "late"))$cor and (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "post" & round == "late"))$cor
## t = 1.0912, df = 39, p-value = 0.2819
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.0008395457  0.0028064002
## sample estimates:
## mean of the differences 
##            0.0009834272
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "pre" & round == "early"))$cor
## t = -2.1121, df = 39, p-value = 0.04113
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -3.571597e-03 -7.724194e-05
## sample estimates:
##    mean of x 
## -0.001824419
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "MoI" & round == "late"))$cor
## t = 1.4048, df = 39, p-value = 0.168
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.0007375798  0.0040914544
## sample estimates:
##   mean of x 
## 0.001676937
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "MoI" & round == "early"))$cor
## t = -1.1556, df = 39, p-value = 0.2549
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.004145792  0.001131019
## sample estimates:
##    mean of x 
## -0.001507386
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca23dg-body" & valid == "valid-valid" & segment == "MoI" & round == "late"))$cor
## t = -1.1771, df = 39, p-value = 0.2463
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.0037288987  0.0009854746
## sample estimates:
##    mean of x 
## -0.001371712
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-valid" & segment == "post" & round == "early"))$cor
## t = -0.77905, df = 39, p-value = 0.4407
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.0017347099  0.0007700057
## sample estimates:
##     mean of x 
## -0.0004823521
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-invalid" & segment == "pre" & round == "early"))$cor
## t = -1.5279, df = 39, p-value = 0.1346
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.0024340484  0.0003391979
## sample estimates:
##    mean of x 
## -0.001047425
## 
##  One Sample t-test
## 
## data:  (sub_p4 %>% filter(roi == "ca1-body" & valid == "valid-invalid" & segment == "MoI" & round == "early"))$cor
## t = -1.451, df = 39, p-value = 0.1548
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
##  -0.0035364195  0.0005820663
## sample estimates:
##    mean of x 
## -0.001477177